Currently tracking 305 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $153k–$285k (avg $226k).
JPMorgan Chase has 448 active AI-related job listings. The majority of these roles, 55%, are focused on agents, with application roles making up another 17%. The dominant function for these positions is Engineering, with a significant number of roles also in Product. The company is primarily hiring in the United States, followed by the United Kingdom and India. Frequent tech tags include agent_orchestration, llm_observability, and model_serving. In the last 30 days, JPMorgan Chase posted 275 new AI roles, representing a 76% increase compared to the previous 30-day period.
JPMorgan Chase currently has 450 active AI-related roles in our index. The most common open titles are: Lead Software Engineer (6), Applied AI ML Director (5), Applied AI ML Lead (4), Applied AI ML-Vice President (4), Applied AI ML-Senior Associate (3). Most positions are in Engineering and Product.
JPMorgan Chase's active AI hiring is concentrated in: agents (56%), application (17%), serving infrastructure (10%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
JPMorgan Chase is hiring AI talent in: United States (306 roles), United Kingdom (71 roles), India (52 roles), Singapore (12 roles).
Job postings at JPMorgan Chase most frequently reference: agent orchestration, llm observability, model serving, rag, fine tuning.
In the past 30 days, JPMorgan Chase has posted 236 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr Director of Software Engineering - AI/ML platforms (Intelligent Agentic Systems, RAG, LLM Architectures) Senior Director of Software Engineering leading AI/ML platforms, focusing on intelligent agentic systems, RAG, and LLM architectures within a financial services context. The role involves managing multiple departments, driving adoption of advanced ML/AI solutions, overseeing the end-to-end project lifecycle, and developing high-performing teams. Requires extensive experience in ML/AI platforms, MLOps, LLM architectures, RAG, fine-tuning, agentic systems, and search technologies. | Agent | 9 |
| Applied AI ML Director Seeking an Applied AI/ML Engineering Director to lead the adoption of AI-powered solutions within Consumer & Community Banking. The role involves architecting, developing, and productionizing ML models, agentic AI systems, and intelligent platforms, with a focus on accelerating developer productivity through AI tooling and practices. Responsibilities include leading technical direction, designing end-to-end AI systems like RAG and intelligent agents, experimenting with new AI technologies, and establishing best practices for AI integration. |
| AgentServe |
| 8 |
| Applied AI ML Lead Lead engineer to build an AI-Native SDLC Agent Fabric using multi-agent systems, LLM Orchestration, and AI toolchains on AWS. Responsibilities include designing and implementing LLM-driven agent services, developing orchestration layers, integrating AI agents with toolchains, and providing technical leadership. | Agent | 8 |
| Predictive Science - AI Engineering & Prompt Architecture Lead - Vice President Lead a team of prompt engineers and AI/ML developers in building intelligent document processing and data extraction solutions for KYC/AML. Architect agentic workflows, design evaluation frameworks, operationalize prompt lifecycle management, guide model selection, design RAG architectures, oversee fine-tuning/training, and build evaluation infrastructure. Requires strong LLM internals, prompt architecture, RAG, fine-tuning, and ML engineering skills, with experience in AI evaluation systems and LLM failure modes. Domain expertise in KYC/AML and experience with autonomous AI agents are preferred. | AgentData | 8 |
| Director of Software Engineering - Python, Gen AI Director of Software Engineering role focused on building and shipping production AI solutions within a fintech domain, specifically leveraging the GenAI stack for financial applications. The role involves end-to-end development, RAG pipelines, prompt engineering, agentic workflows, and collaboration with business and control partners. Emphasis on practical application of AI, modern software engineering practices, and AI-assisted development tools. | AgentShip | 8 |
| Vice President – Data Scientist Lead (LLM/GenAI) Lead the design and delivery of LLM-powered solutions for commercial banking use cases like content extraction, enterprise search, reasoning, summarization, and recommendations. Partner with engineering and product teams to deploy reliable, scalable, and governed GenAI capabilities using Amazon Bedrock and Cortex, with a strong emphasis on evaluation, guardrails, and production-grade MLOps. | AgentServe | 8 |
| WCR- Quantitative Research - Associate This role focuses on building and deploying AI/ML/LLM/GenAI solutions, with a strong emphasis on fine-tuning generative models for specific use cases, building AI agents, and implementing RAG-based solutions. The role also involves developing data pipelines, evaluating models, and communicating results. | AgentPost-train | 8 |
| Data Scientist Senior Associate - Applied AI ML Senior Associate Data Scientist focused on applied AI/ML, specifically GenAI and LLMs, for fintech. Responsibilities include designing, developing, and deploying AI systems, integrating GenAI into platforms, optimizing performance, and ensuring responsible AI governance and compliance. Requires strong Python, ML framework, and MLOps experience, with a focus on agentic workflows and production deployment. | AgentServe | 8 |
| AWM Quant Modelling- Senior Associate Senior Associate Data Scientist role in JPMorgan's AWM Risk Analytics Group, focusing on developing and deploying AI/ML models for risk management. Responsibilities include identifying use cases, leading model development (NLP, LLMs), prompt engineering, quantization, evaluation, data onboarding, model optimization, and contributing to risk methodologies. Requires experience with Python, SQL, R, PyTorch/TensorFlow, AWS, and frameworks like LangChain. | AgentPost-train | 8 |
| Applied AI ML Lead -Digital Lead Applied AI ML role in Fintech, focusing on developing and productionizing ML models and scalable data pipelines for personalized financial services. Requires strong CS background, end-to-end project ownership, and collaboration with cross-functional teams. Emphasis on research, algorithm implementation, experimentation, and ensuring regulatory compliance. | Ship | 8 |
| Applied Artificial Intelligence & Machine Learning - Vice President JPMorgan Chase is seeking a Vice President for their Applied Artificial Intelligence & Machine Learning team in Mumbai. This role focuses on developing and deploying scalable ML solutions for KYC and operations, with potential for commercialization. The position requires a Master's or PhD in a quantitative field, strong Python skills, and experience deploying ML models in production at scale. Experience with NLP, LLMs, and Agentic AI systems is preferred. | AgentServe | 8 |
| Investment Risk & Analytics - Quant Modeling Associate JPMorgan Chase is seeking a Quant Modeling Associate with 3+ years of experience in AI/ML to design, develop, and deploy advanced AI/ML models for investment risk oversight. The role involves the full lifecycle of AI/ML initiatives, including data engineering, model development, validation, deployment, and monitoring, with a focus on generative AI and deep learning techniques. The associate will collaborate with technology teams, present findings, and stay updated on AI trends, while also participating in governance and regulatory discussions. | AgentData | 8 |
| Embedded AI - CIB Chief Analytics office JPMorgan Chase's Commercial and Investment Bank Chief Analytics Office is seeking an Embedded AI Senior Associate to accelerate high-impact AI programs, focusing on generative AI, LLMs, and Agentic AI. The role involves close collaboration with business experts and analytics/technology teams for end-to-end delivery of AI solutions, ensuring responsible AI use and staying updated with cutting-edge research. Responsibilities include identifying AI solutions, analyzing data, communicating insights to senior stakeholders, and delivering AI solutions. | Agent | 8 |
| Agentic Development - Vice President The role focuses on developing and deploying modular components for agentic systems, enabling intelligent automation and orchestration within business platforms. It involves integrating these capabilities into existing systems, containerizing and deploying them on cloud platforms, and applying advancements in agentic frameworks, LLMs, and GenAI. The role also includes leading a team of senior resources focused on agentic solutions and infrastructure development. | Agent | 8 |
| Agentic Development Associate Develops and maintains modular components for agentic systems, integrating AI/ML initiatives, containerizing and deploying on cloud platforms, and leveraging agentic frameworks, LLMs, and GenAI. Requires hands-on experience with agentic systems in production and strong Python skills. | Agent | 8 |
| Applied AI/ML Lead Lead role focused on designing, deploying, and managing prompt-based LLM models for NLP tasks in financial services. Involves research into prompt engineering, LLM orchestration, agentic AI, building data pipelines, and developing tools for model training, evaluation, and optimization. Requires strong Python, PyTorch/TensorFlow, cloud platform, and MLOps experience. | AgentData | 8 |
| Vice President - Product Manager - Machine Learning & Intelligent Operations Product Manager for JPMorgan Chase's Machine Learning & Intelligent Operations (MLIO) team, focusing on transforming customer service and personalization using AI/ML. The role involves defining product strategy, leading cross-functional teams, and driving product value for millions of customers. | Ship | 7 |
| Operations Automation Associate This role is responsible for delivering analytics products and AI capabilities, focusing on GenAI and agentic AI patterns. The role involves translating business needs into requirements, building data foundations, designing and deploying LLM/agentic AI use cases with governance and human-in-the-loop controls, and establishing evaluation frameworks. It requires strong Python, data engineering, SQL, RAG, and MLOps skills, with a focus on responsible AI practices within a financial services domain. | AgentData | 7 |
| Product Manager - MLIO Knowledge Management Product Manager for an AI/ML team at JPMorgan Chase, focusing on knowledge management. The role involves defining and executing an AI/ML product roadmap to deliver knowledge content via APIs and services, leading cross-functional teams (analysts, data engineers, data scientists), and partnering with various departments. Requires experience in product management, knowledge management, AI/ML, and agile environments, with a preference for experience with GenAI, RAG, and AI Agents. | AgentData | 7 |
| Software Engineer II - UX Designer Software Engineer II - UX Designer role focused on integrating Generative AI into multi-modal interfaces (voice, text, touch) for web and mobile platforms. Requires hands-on engineering expertise in front-end development (React, Node.js) and collaboration with AI/ML engineers to build user-centric solutions. | Agent | 7 |
| Analytics Solution - Associate Associate Analytics Solution role at JPMorgan Chase in Bengaluru, focused on developing data visualizations, intelligence solutions, and strategic analytics. Leverages advanced analytics tools, Python, SQL, and AI/ML techniques, including LLM use cases, to drive decision-making, streamline processes, and support cloud migration. Collaborates with stakeholders and mentors junior team members. | Agent | 7 |
| Applied AI ML Lead Lead role in a Fintech company focused on designing and delivering innovative AI/ML models for financial analysis, regulatory requirements, and pricing decisions. Requires strong quantitative, programming (Python, PySpark), and machine learning skills, with experience in leading teams and communicating complex concepts. | Post-train | 7 |
| AI-ML Modeler Senior Associate Senior Associate AI-ML Modeler in the Finance Modeling team at JPMorgan Chase. The role involves designing and delivering innovative models for budgeting, financial analysis, regulatory requirements, and pricing decisions. Responsibilities include data anomaly identification, quantitative analysis, data cleaning, model building (statistical, econometric, ML), communicating results to stakeholders, and mentoring team members. Requires a graduate degree, 5+ years of model development experience, proficiency in Python/R/Scala, experience with specific financial models (budget, CCAR, PPNR), statistical/econometric techniques, machine learning theory, big data tools (Spark/Hadoop), and explainability for risk and compliance. Familiarity with Gen AI is preferred. | Post-train | 7 |
| Data and AI Control Manager This role focuses on building and productionizing AI/ML solutions, including Generative AI workflows, to enhance risk detection, continuous monitoring, and regulatory compliance within a financial services context. It involves automating testing processes, operationalizing alerts, and applying LLMs/GenAI for tasks like document parsing and policy mapping, with a strong emphasis on explainability and auditability in a regulated environment. | AgentData | 7 |
| Data Science – (Gen AI Developer) - Analyst This role focuses on architecting and developing solutions leveraging Generative AI and Agentic AI technologies, with a strong emphasis on RAG-based agents and deploying them into production. The role involves data analysis, model development, and translating model outputs into user-friendly insights. | Agent | 7 |
| Wholesale Client Profitability (WCP), Transformation, Controllership & P&A - Vice President This role focuses on integrating AI and automation into financial processes, specifically client profitability, to improve accuracy, timeliness, and efficiency. It involves leading the adoption of AI/ML and GenAI use cases within period-end workflows, defining guardrails for these AI systems, and partnering with Technology and Data teams to rationalize tools and shorten cycle times. The role requires hands-on experience with AI/ML in financial close processes and a strong understanding of finance transformation, controllership, and risk management. | Agent | 7 |
| Applied AI/ML Associate Senior - Causal ML This role focuses on applying GenAI, ML, and statistical models, with a strong emphasis on causal inference, to solve business problems in the Global Wealth Management space. The goal is to build next-generation decision systems for pricing, campaign targeting, and understanding cause-and-effect relationships in observational data. | Agent | 7 |
| Applied AI/ML Senior Associate Senior Associate role focused on applying AI/ML techniques, particularly NLP, to solve business problems within the Asset & Wealth Management division of JPMorgan Chase. Responsibilities include developing, productionizing, and documenting AI/ML solutions, collaborating with stakeholders, and coaching team members. Requires 3+ years of applied experience in data science and ML, with strong Python skills and experience with ML libraries and big data tools. | Ship | 7 |
| Quant Modelling Associate Quant Modeling Associate role focused on ensuring fair lending compliance for various models, including traditional, ML/AI, and Gen AI models, within JPMorgan Chase's Risk Management and Compliance division. Responsibilities include statistical analysis, bias testing, developing mitigation algorithms, research, and documentation, with a focus on adhering to Fair Lending Laws and regulations. | Post-trainAgent | 7 |
| Applied Artificial Intelligence & Machine Learning- Markets Operations - Vice President Lead the design and delivery of AI/ML solutions for Market Operations at JPMorgan Chase. This role involves managing a team, partnering with business and technology stakeholders, and ensuring the successful implementation and scaling of AI-driven tools. The focus is on developing and deploying production-grade AI/ML applications, establishing best practices for evaluation and monitoring, and driving measurable impact. | ShipAgent | 7 |
| Senior Associate -Applied AI ML -Digital Seeking an AI engineer to develop and productionize NLP models and services for bank operations, focusing on end-to-end projects and scalable data pipelines. | Agent | 7 |
| Applied Artificial Intelligence & Machine Learning Engineer - Vice President This role is for an Applied AI/ML Engineer (VP level) at JPMorgan Chase, focusing on developing and delivering AI solutions for Commercial & Investment Banking Payments. The engineer will collaborate with cross-functional teams to boost operational efficiency and drive business innovation using AI/ML technologies, managing the code lifecycle from development to production. | Ship | 7 |
| Applied Artificial Intelligence & Machine Learning Engineer - Associate Applied AIML Engineer at JPMorgan Chase, focused on developing and delivering AI-driven payments solutions for Commercial & Investment Banking. The role involves coding, cross-functional collaboration, and end-to-end code lifecycle management, with a minimum of 2 years of AIML project delivery experience. | Ship | 7 |
| Modeling Centre of Excellence: Forecasting_ Analyst Develops and industrializes quantitative methodologies and predictive models using statistical and machine learning techniques in R/Python for financial planning and forecasting within a large financial institution. The role involves data analysis, model development, documentation, and interaction with model governance. | Post-train | 7 |
| Modeling Centre of Excellence: Forecasting_ Associate Develops quantitative methodologies and predictive/explanatory models using statistical and machine learning techniques in R/Python for financial planning and forecasting within a large financial institution. The role involves data analysis, model development, documentation, and interaction with model governance. | Post-train | 7 |